Renjie Wu

According to our database, Renjie Wu authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

C²²MP: the marriage of catch22 and the matrix profile creates a fast, efficient and interpretable anomaly detector.

Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh

Knowl. Inf. Syst., August, 2024

Problems with Problems in Data Mining

Renjie Wu

PhD thesis, 2024

2023

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress.

Renjie Wu, Eamonn J. Keogh

IEEE Trans. Knowl. Data Eng., March, 2023

When is Early Classification of Time Series Meaningful?

Renjie Wu, Audrey Der, Eamonn J. Keogh

IEEE Trans. Knowl. Data Eng., March, 2023

DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams.

Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh

Data Min. Knowl. Discov., March, 2023

Matrix Profile XXIX: C²²MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector.

Sadaf Tafazoli, Yue Lu, Renjie Wu, Thirumalai Vinjamoor Akhil Srinivas, Hannah Dela Cruz, Ryan Mercer, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

FastDTW is Approximate and Generally Slower Than the Algorithm it Approximates.

Renjie Wu, Eamonn J. Keogh

IEEE Trans. Knowl. Data Eng., 2022

Matrix Profile XXIV: Scaling Time Series Anomaly Detection to Trillions of Datapoints and Ultra-fast Arriving Data Streams.

Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn J. Keogh

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress (Extended Abstract).

Renjie Wu, Eamonn J. Keogh

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

When is Early Classification of Time Series Meaningful? (Extended Abstract).

Renjie Wu, Audrey Der, Eamonn J. Keogh

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series.

Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

2021

FastDTW is approximate and Generally Slower than the Algorithm it Approximates (Extended Abstract).

Renjie Wu, Eamonn J. Keogh

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021